Jiyoon Yi, Ph.D.
Publications, Awards, Grants, Patents
Biography
Dr. Jiyoon Yi’s research program focuses on developing biologically contextualized, AI-enabled approaches to forecast microbial behavior and support sustainable food systems. Her team combines wet lab experimentation with computational modeling, with three main areas of focus:
- AI-enabled hyperspectral microscopy for BSL-2 foodborne pathogen identification and microbial stress responses
- Generalizable AI and hybrid modeling to improve scalability and enable cost-effective tools for microscopy and food processing
- Microbiome and genomic data modeling to capture community interactions in agricultural environments using advanced AI approaches
She teaches Heat and Mass Transfer in Biosystems (undergraduate core) and Machine Learning for Biosystems (graduate). She also serves as a faculty mentor for BE Senior Design teams working with food industry clients. She is the faculty advisor for the Alpha Epsilon Honor Society.
Research Interests
Food: Food AI and Engineering
AI-enabled solutions for sustainable food safety and security
Websites